SUNDAY, OCTOBER 3
POSTER SESSION: NUTRITION ASSESSMENT/MEDICAL NUTRITION THERAPY TITLE: DIETARY INTAKE PATTERNS OF MILK AND MILK RELATED PRODUCTS AND BODY MASS INDEX OF INNER CITY ADOLESCENT BOYS AND GIRLS (12-17 YEARS) AUTHOR(S): S. Mandali, PhD, RD; P. Ament, PhD; Central Missouri State University LEARNING OUTCOME: To examine the dietary intakes patterns of milk and milk related products and body mass index among inner city adolescent boys and girls. TEXT: Objective: This study examined the dietary intake patterns and body mass index of inner city adolescent boys and girls. Study Design and Subjects: A self administered Block Kid’s Food Questionnaire was completed by a sample of 44 students. The students reported the consumption patterns for milk, chocolate milk, or hot chocolate over a period of seven days. The body mass index was measured using the Tanita Body Composition Analyzer. Statistical Analysis: The completed surveys were numerically coded and a frequency analysis was conducted using SPSS, version 10.1. The Mean, standard deviation and standard error were calculated for age, height, weight, BMI, percent fat, fat mass and fat free mass. Results: The mean age of the study population was 15.56 years. The mean BMI was 27.85 (SE ⫽ 1.55) for males (n ⫽ 21) and 24.51 (SE ⫽ 1.88) for females (n ⫽ 14). Males were between 90-97th and females between 75-85th percentile for Body mass index–for-age percentiles. The survey analysis suggests that the subjects reported consumption of 10.0 cups/week (1.42 cups/day) of milk or milk related products (chocolate milk or hot chocolate). 38.6 % of the subjects reported that whole milk was used at home and 43.2% did not know the type of milk used at home. Applications: The study results demonstrate that there is growing need for health care professionals to educate the inner city school children and parents about the health benefits associated with consumption of low fat healthy choice dairy products. FUNDING DISCLOSURE: University Research Council, Office of Sponsored Programs, Central Missouri State University
TITLE: OVERWEIGHT IN MISSISSIPPI ELEMENTARY AND MIDDLE SCHOOL-AGED CHILDREN: HOW EXTENSIVE IS THE PROBLEM? AUTHOR(S): M.K. Meyer, PhD, RD; N. Speed, PhD; J. Kolbo, PhD; The University of Southern Mississippi and A. Penman, The Mississippi State Department of Health LEARNING OUTCOME: To be able to identify the extent of the overweight children in Mississippi schools, grades 1-8. TEXT: Obesity is a major health issue in the U.S. In 2002 Mississippi was among the top three states for adult obesity (CDC, 2002). The Youth Risk Behavior Surveillance (YRBS), a self-reported student health risk survey, indicated 15.4% of Mississippi students in grades 9-12 were at risk for becoming overweight and 14% were already overweight. The extent of overweight children in Mississippi schools, grades 1-8 was unknown until addressed in a study using the YRBS random sampling methodology. BMI measures were taken on 1,658 students from 32 schools. Results were weighted and adjusted so that results were representative of all public elementary and middle school students in Mississippi. These data showed 26.9% of 1st-grade students were above the 85th percentile for weight/ height by age. The percentage steadily increased from the 1st to 8th grades except in the 6th grade where students may be experiencing a growth spurt. The percentages for other grades are as follows: 2nd 31.7%; 3rd 42.8%; 4th 42.5%; 5th 44.7%; 6th 34.6%; 7th 43.3%, and 8th 43.2%. Little difference was found between males (38.6%) and females (38.8%), but the percentage was higher for non-white (40%) as compared to white students (37.4%). Children are our future and their health impacts their ability to function as adults. All school and community groups must partner to help children attain and maintain a healthy weight. FUNDING DISCLOSURE: This project was funded by the Bower Foundation A-16 / August 2004 Suppl 2—Abstracts Volume 104 Number 8
TITLE: DEVELOPMENT OF AN ANALYTICALLY VALIDATED DIETARY SUPPLEMENT INGREDIENT DATABASE (DSID) FOR USE IN QUANTIFYING NUTRIENT CONTRIBUTIONS OF SUPPLEMENTS TO TOTAL DIETARY INTAKES AUTHOR(S): J.T. Dwyer, DSc, RD; M.F. Picciano, PhD; J.M. Betz, PhD; L.G. Saldanha, PhD, RD; E.A. Yetley, PhD; and P.M. Coates, PhD; Office of Dietary Supplements (ODS), National Institutes of Health Bethesda, MD; K. Radimer, PhD and B. Bindewald, MS; MPH National Center for Health Statistics (NCHS), Centers for Disease Control, Hyattsville, MD, US Department of Health and Human Services; J. Holden, MS; J. Harnly, PhD; W. Wolf, PhD; K. Andrews; and C. Zhao, MS; Agricultural Research Service (ARS), US Department of Agriculture, Beltsville, MD LEARNING OUTCOME: To increase awareness of the availability of new federally-funded databases for use in quantifying contributions of dietary supplements to total nutrient intakes. TEXT: An estimated 50% of the US population consume dietary supplements (DS), but analytically substantiated data are sparse on their nutrient and botanical constituents. Programs funded by the Office of Dietary Supplements at the National Institutes of Health enhance database development and permit better description of the quantitative and qualitative contributions of DS to total dietary intakes. They provide standardized methods and reference materials that will be useful in further design, development, and dissemination of a database of analytical information on DS in a dietary supplement ingredient database (DSID). Priorities for analyses of DS ingredients are based on the criteria of: exposure, as assessed in the National Health and Nutrition Examination (NHANES) survey; availability of methods and reference materials; and agency interest. Current priorities for the DSID include multivitamin-mineral supplements, antacids, vitamins E, C, B-vitamins, calcium, other single mineral supplements, multimineral supplements, and caffeine. ODS partners with the Nutrient Data Laboratory of the Agricultural Research Service (ARS) to set up and maintain the database and with the National Centers for Health Statistics (NCHS) to support the collection of data on DS use in NHANES. Future analytical efforts of the DSID will be guided by information on DS use from NHANES. Ultimately the DSID will permit dietitians to more accurately estimate the contribution of DS to total dietary intakes of nutrients and better evaluate the role of DS in promoting health and well being. FUNDING DISCLOSURE: Office of Dietary Supplements (ODS), National Institutes of Health (NIH)
TITLE: FACTORS PREDICTIVE OF NUTRITION RISK IN A DENTAL CLINIC POPULATION AUTHOR(S): D.R. Radler, MS, RD; R. Touger-Decker, PhD, RD, FADA; P.B. Matheson, PhD; M. Glick, DMD; University of Medicine and Dentistry of New Jersey, Newark, NJ LEARNING OUTCOME: Identify factors that are predictive of nutrition risk in a dental clinic population. TEXT: Objective: Oral and systemic diseases can affect dietary intake; poor nutrition can impact oral integrity. The objective of this cross-sectional study was to identify factors for use in a nutrition screening tool for dentists, with the purpose of identifying dental patients at nutrition risk. Materials and Methods: Data, collected by chart review, exam and interview, included oral health, chronic disease, health behaviors, weight change, and barriers to optimal dietary intake. Oral health status was measured by number of decayed and missing teeth, natural occluding tooth surfaces, prostheses, or soft tissue lesions; chronic disease was identified by diagnosis of hypertension, diabetes, or immunosuppressive disorder; health behaviors included tobacco use and sugar consumption; weight change focused on unintentional change; barriers to dietary intake included physical or financial limitations. The outcome variable, ‘nutrition risk’, was determined by clinical opinion by two RDs with expertise in oral health and physical assessment. A convenience sample of 241 English-speaking adults at the dental school clinic was obtained. Variables correlated with nutrition risk (p⬍0.05) were used in stepwise logistic regression. Results: Mean age was 49.02 (SD⫽16.05); 53.66% (n⫽132) female. Eleven factors were predictive of nutrition risk (immunosuppression, diabetes, dysphagia, soft tissue lesions, difficulty preparing food, difficulty shopping for food, new caries, high sugar intake, unintentional weight change, number of teeth, difficulty with mastication). The model correctly classified 87.55% (n⫽211) of the subjects. Combined, these factors serve as a nutrition risk screening tool for dental professionals. The tool should be validated in a diverse adult population. FUNDING DISCLOSURE: American Dietetic Association Foundation – Colgate Palmolive Fellowship